scholarly journals Asymmetric Impact of COVID-19 on China’s Stock Market Volatility: Media Effect or Fact?

2021 ◽  
Author(s):  
Xin Li
Keyword(s):  
Stock Market ◽  
Market Volatility ◽  
Stock Market Volatility ◽  
Media Effect ◽  
Asymmetric Impact

Are There Asymmetries in the Relationship Between Exchange Rate Fluctuations and Stock Market Volatility in Pacific Basin Countries?

2006 ◽  
Vol 09 (02) ◽  
pp. 229-256 ◽  
Author(s):  
Nabil Maghrebi ◽  
Mark J. Holmes ◽  
Eric J. Pentecost
Keyword(s):  
Stock Market ◽  
Market Volatility ◽  
Bad News ◽  
Good News ◽  
Pacific Basin ◽  
Stock Market Volatility ◽  
Currency Markets ◽  
Dynamic Relationship ◽  
Exchange Rate Fluctuations ◽  
Asymmetric Impact

This paper examines asymmetries in the dynamic relationship between foreign exchange fluctuations and stock market volatility in Pacific basin countries. The methodology is based on a dynamic covariance modelling that accounts for leverage effects and the asymmetric impact of currency fluctuations. There is evidence that appreciations are more conducive to lower volatility in currency markets than depreciations of equal magnitude. Market volatility tends to be ceteris paribus, more sensitive to bad news about equity than good news and more responsive to currency depreciations than appreciations. The results also suggest that bad news about equity accompanied with currency depreciations are likely to generate higher volatility in currency markets and have the potential of affecting the significance of leverage effects in stock markets.

scholarly journals ASYMMETRIC IMPACT OF INVESTOR SENTIMENT ON BRAZILIAN STOCK MARKET VOLATILITY

2021 ◽  
Vol 22 (4) ◽  
Author(s):  
TALIEH S. V. FERREIRA ◽  
MÁRCIO A. V. MACHADO ◽  
POLYANDRA Z. P. SILVA
Keyword(s):  
Stock Market ◽  
Emerging Markets ◽  
Design Methodology ◽  
Investor Sentiment ◽  
Market Volatility ◽  
Stock Market Volatility ◽  
Developed Markets ◽  
Asymmetric Behavior ◽  
Asymmetric Impact ◽  
Book To Market Ratio

ABSTRACT Purpose: The purpose of this study was to analyze the effect of investor sentiment on the volatility of the Brazilian stock market. Specifically, it aimed to identify if the asymmetric behavior of sentiment could be observed in emerging markets, considering companies that have characteristics that are difficult to price. Originality/value: Unlike most studies on investor sentiment, this study focuses on its impact on the stock market volatility, as well as on the characteristics of companies associated with difficult pricing. Design/methodology/approach: The volatility of the IBRX100 index was used to represent the Brazilian stock market, and as a proxy for investor sentiment it was selected Miranda's index (2018), based on market data. Data were estimated using the two-stage least squares (MQ2E) technique to address endogeneity problems. Finally, the volatility of companies with difficult-to-price characteristics was segregated to analyze their sensitivity to sentiment. Findings: The results indicate that sentiment has a negative and sig nificant relationship with the volatility of the Brazilian market, as well as evidences an asymmetrical behavior, being statistically stronger in pessimistic periods. Additional analyzes evidence that the explanatory sentiment capacity is sensitive to companies' characteristics, but only companies with a high book-to-market ratio showed asymmetric behavior, as expected by the literature. The portfolios segmented by size and illiquidity maintained an asymmetric behavior, but it was the volatility of the large companies and the less illiquid ones that were best explained by sentiment, indicating that the Brazilian market has distinctive characteristics in relation to developed markets.

Estimating Emerging Stock Market Volatility Using Garch Family Models

2011 ◽  
Vol 3 (9) ◽  
pp. 331-333 ◽  
Author(s):  
Ramona Birău ◽  
◽  
Jatin Trivedi
Keyword(s):  
Stock Market ◽  
Market Volatility ◽  
Stock Market Volatility ◽  
Family Models

scholarly journals Volatility Modeling: An Overview of Equity Markets in the Euro Area during COVID-19 Pandemic

Mathematics ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1212
Author(s):  
Pierdomenico Duttilo ◽  
Stefano Antonio Gattone ◽  
Tonio Di Di Battista
Keyword(s):  
Stock Market ◽  
Euro Area ◽  
Risk Premium ◽  
Stock Markets ◽  
Market Volatility ◽  
Stock Market Volatility ◽  
Volatility Modeling ◽  
The Impact ◽  
Second Wave ◽  
Daily Returns

Volatility is the most widespread measure of risk. Volatility modeling allows investors to capture potential losses and investment opportunities. This work aims to examine the impact of the two waves of COVID-19 infections on the return and volatility of the stock market indices of the euro area countries. The study also focuses on other important aspects such as time-varying risk premium and leverage effect. This investigation employed the Threshold GARCH(1,1)-in-Mean model with exogenous dummy variables. Daily returns of the euro area stock markets indices from 4th January 2016 to 31st December 2020 has been used for the analysis. The results reveal that euro area stock markets respond differently to the COVID-19 pandemic. Specifically, the first wave of COVID-19 infections had a notable impact on stock market volatility of euro area countries with middle-large financial centres while the second wave had a significant impact only on stock market volatility of Belgium.

Stock Market Volatility and Terrorism: New Evidence from the Markov Switching Model

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Faheem Aslam ◽  
Hyoung-Goo Kang ◽  
Khurrum Shahzad Mughal ◽  
Tahir Mumtaz Awan ◽  
Yasir Tariq Mohmand
Keyword(s):  
Stock Market ◽  
Significant Risk ◽  
Market Volatility ◽  
Terrorist Attacks ◽  
Stock Market Volatility ◽  
Markov Switching Model ◽  
Physical Damage ◽  
Stock Market Returns ◽  
Switching Model ◽  
The Impact

AbstractTerrorism in Pakistan poses a significant risk towards the lives of people by violent destruction and physical damage. In addition to human loss, such catastrophic activities also affect the financial markets. The purpose of this study is to examine the impact of terrorism on the volatility of the Pakistan stock market. The financial impact of 339 terrorist attacks for a period of 18 years (2000–2018) is estimated w.r.t. target type, days of the week, and surprise factor. Three important macroeconomic variables namely exchange rate, gold, and oil were also considered. The findings of the EGARCH (1, 1) model revealed that the terrorist attacks targeting the security forces and commercial facilities significantly increased the stock market volatility. The significant impact of terrorist attacks on Monday, Tuesday, and Thursday confirms the overreaction of investors to terrorist news. Furthermore, the results confirmed the negative linkage between the surprise factor and stock market returns. The findings of this study have significant implications for investors and policymakers.

Trump Tweets’ Sentiment, Stock Market Volatility and Jumps

2021 ◽  
Author(s):  
Yusaku Nishimura ◽  
Xuyi Dong ◽  
Bianxia SUN
Keyword(s):  
Stock Market ◽  
Market Volatility ◽  
Stock Market Volatility
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